异质多智能体仿真

【实例简介】有具体实例 和完整代码

nibian_dianyadanbihuan.mdl

Matlab教材及随书光盘，超实用的好书，强烈推荐！ MATLAB统计分析与应用 40个案例分析.pdf《MATLAB统计分析与应用：40个案例分析》程序与数据.rar第1章 利用MATLAB生成Word和Excel文档第2章 数据的导入与导出第3章 数据的预处理第4章 生成随机数第5章 参数估计与假设检验第6章 Copula理论及应用实例第7章 方差分析第8章 数据拟合第9章 聚类分析第10章 判别分析第11章 主成分分析第12章 因子分析附录A 图像处理中的统计应用案例

【实例简介】待时间车辆路径规划模型

论文《As-Projective-As-Possible Image Stitching with Moving DLT》中的拼接算法，对于视差图像拼接具有一定的鲁棒性，但是对特征点数量及其分布均匀性有较高的要求。 The success of commercial image stitching tools often leads to the impression that image stitching is a “solved problem”.The reality, however, is that many tools give unconvincing results when the input photos violate fairly restrictive imaging assumptions;the main two being that the photos correspond to views that differ purely by rotation, or that the imaged scene is effectively planar.Such assumptions underpin the usage of 2D projective transforms or homographies to align photos. In the hands of the casual user,such conditions are often violated, yielding misalignment artifacts or “ghosting” in the results. Accordingly, many existing imagestitching tools depend critically on post-processing routines to conceal ghosting. In this paper, we propose a novel estimationtechnique called Moving Direct Linear Transformation (Moving DLT) that is able to tweak or fine-tune the projective warp toaccommodate the deviations of the input data from the idealized conditions. This produces as-projective-as-possible image alignmentthat significantly reduces ghosting without compromising the geometric realism of perspective image stitching. Our technique thuslessens the dependency on potentially expensive postprocessing algorithms. In addition, we describe how multipleas-projective-as-possible warps can be simultaneously refined via bundle adjustment to accurately align multiple images for largepanorama creation.

3.设有ARMA（2，2）模型：W(n)是零均值正态白噪声，方差为4。（1）用MATLAB模拟产生X(n)的500观测点的样本函数，并绘出图形；（2）用产生的500个观测点估计X(n)的均值和方差；（3）画出X(n)的理论的功率谱；（4）估计X(n)的自相关函数和功率谱。

微逆光伏逆变器仿真模型230V

人工势场法路径规划是由Khatib提出的一种虚拟力法（Oussama Khatib，Real-Time obstacle Avoidance for Manipulators and Mobile Robots. Proc of The 1994 IEEE.）。它的基本思想是将机器人在周围环境中的运动，设计成一种抽象的人造引力场中的运动，目标点对移动机器人产生“引力”，障碍物对移动机器人产生“斥力”，最后通过求合力来控制移动机器人的运动。应用势场法规划出来的路径一般是比较平滑并且安全，但是这种方法存在局部最优点问题。

包含GA、AS、SA等求解TSP问题，有实例测试 【核心代码】 GATSP ├── Distanse.m├── DrawPath.m├── Fitness.m├── GA_TSP.m├── InitPop.m├── Mutate.m├── OutputPath.m├── PathLength.m├── Recombin.m├── Reins.m├── Reverse.m├── Select.m├── Sus.m└── dsxy2figxy.m0 directories, 14 files

实现水果分割识别